scholarly journals Обработка холодом в технологии стабилизации вин и пути оптимизации энергозатрат

2019 ◽  
pp. 174-179
Author(s):  
Anton Silvestrov ◽  
Natalya Chaplygina ◽  
Tatyana Vedernikova ◽  
Valentin Ryzhkov ◽  
Konstantin Feodosidi ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Detailed Analysis ◽  
Thermal Insulation ◽  
Electricity Consumption ◽  
Cooling Systems ◽  
Processing Scheme ◽  
Depth Analysis ◽  
Materials Used ◽  
Production Conditions ◽  
Over Time

Проведен развернутый анализ существующих аппаратарно-технологических схем обработки виноматериалов холодом. Выделены проблемные места технологии обработки холодом, обоснованы пути оптимизации этого процесса. Выявлено преимущество систем непосредственного охлаждения виноматериалов. Изучены теплотехнические характеристики материалов изоляционных конструкций изотермических резервуаров. Установлены значимые показатели, определяющие эффективность изоляционных конструкций. Проведен детальный анализ теплоизоляционных свойств различных материалов, применяемых для термоизоляции резервуаров, а также стабильности этих свойств во времени в условиях реального производства. Даны рекомендации по выбору оптимальной изоляционной конструкции изотермических резервуаров. Приводятся сопоставительные данные по затратам электроэнергии в традиционной схеме обработки виноматериалов холодом и рекомендуемой. Делаются выводы о возможности сокращения и оптимизации энергозатрат на процесс обработки виноматериалов холодом.A detailed analysis of the existing machine and technological schemes for base wine cold processing was conducted. Problem areas of cold processing technology were identified; ways to optimize this process were established. The advantages of base wine direct cooling systems were revealed. Thermo-technical characteristics of insulating structure materials used in isothermal tanks were studied. Significant indicators that determine the effectiveness of the insulating structures were established. The thermal insulation properties of various materials used for thermal insulation of the tanks undergone in-depth analysis, along with stability of these properties over time under actual production conditions. Recommendations are given as to the choice of the optimal insulating design of the isothermal tanks. Comparative data on electricity consumption using the traditional base wine cold processing scheme and the recommended one is given. Conclusions are drawn about the ways to reduce and optimize energy consumption during base wine cold processing.

Comparative Analysis of Different In Row Cooler Management Configurations in a Hybrid Cooling Data Center

2015 ◽  
Author(s):  
Tianyi Gao ◽  
Bahgat G. Sammakia ◽  
James Geer ◽  
Bruce Murray ◽  
Russell Tipton ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Data Center ◽  
Power Plants ◽  
Data Centers ◽  
Electricity Consumption ◽  
Design Guidelines ◽  
Cooling Systems ◽  
Density Data ◽  
Hybrid Cooling ◽  
The Impact

The heat dissipated by electronic equipment inside data centers is increasing at a rapid rate due to the increasing of performance requirement and package density. This ever increasing power leads to critical challenges of thermal management for these high power density data centers. Energy consumption is also a key issue for high density data centers. Roughly 1.5% of all U.S. electricity consumption in the year 2006 was related to data centers, while that number increased to 2% by the year 2010. In 2013, U.S. data centers consumed approximately 91 billion kilowatt-hours of electricity. This amount of the electricity equals the annual output of 34 500-megawatt coal-fired power plants [1]. Cooling systems constitute a significant portion of the energy consumption of data centers, being approximately 25%∼35% of the total energy usage. Therefore, there is a large potential to save energy by optimizing current existing cooling systems and investigating new cooling technologies, and, at the same time, improving the overall cooling capacity and efficiency. This paper describes and investigates a hybrid cooling technology which utilizes in row coolers in existing raised floor air cooled data centers. The in row cooler functions as a liquid-to-air heat exchanger. In addition to the traditional raised floor cold aisle-hot aisle arrangements, the in row cooler is installed between the IT equipment to enable delivering the liquid coolant medium closer to the IT equipment. The in row coolers intake the hot air from the hot aisle, condition it, and supply the chilled air to the cold aisle. Thus, by extracting a large portion of the heat more directly into the cooling liquid through the in row coolers compared with the perimeter CRAH unit, the overall cooling performance and efficiency can potentially be improved. CFD models for an in row cooler and a representative data center room are developed. Experimentally characterized performance data are used to calibrate and validate the models. The models are then used to conduct a detailed computational analysis to assess the effectiveness of different arrangement configurations of in row cooler units in two rows of racks along one cold aisle. The detailed performance of the entire cold aisle is characterized using the rack inlet air temperature and a temperature nonuniformity factor. The impact of CRAH location and room layout are also investigated. This study is based on a practical problem and the corresponding results and analysis provide basic installation and design guidelines for future equipment upgrading in certain parts of the data center.

scholarly journals The Impact of Occupancy-Driven Models on Cooling Systems in Commercial Buildings

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1722
Author(s):  
Seyyed Danial Nazemi ◽  
Esmat Zaidan ◽  
Mohsen A. Jafari
Keyword(s):  
Energy Consumption ◽  
Optimization Algorithm ◽  
Cooling System ◽  
Linear Optimization ◽  
Electricity Consumption ◽  
Commercial Buildings ◽  
Optimization Approach ◽  
Cooling Systems ◽  
Rule Based ◽  
The Impact

Cooling systems play a key role in maintaining human comfort inside buildings. The key challenges that are facing conventional cooling systems are the rapid growth of total cooling energy and annual electricity consumption in commercial buildings. This is even more significant in countries with an arid climate, where the cooling systems are typically working 80% of the year. Thus, there has been growing interest in developing smart control models to assign optimal cooling setpoints in recent years. In the present work, we propose an occupancy-based control model that is based on a non-linear optimization algorithm to efficiently reduce energy consumption and costs. The model utilizes a Monte-Carlo method to determine the approximate occupancy schedule for building thermal zones. We compare our proposed model to three different strategies, namely: always-on thermostat, schedule-based model, and a rule-based occupancy-driven model. Unlike these three rule-based algorithms, the proposed optimization approach is a white-box model that considers the thermodynamic relationships in the cooling system to find the optimal cooling setpoints. For comparison, different case studies in five cities around the world were investigated. Our findings illustrate that the proposed optimization algorithm is able to noticeably reduce the cooling energy consumption of the buildings. Significantly, in cities that were located in severe hot regions, such as Doha and Phoenix, cooling energy consumption can be reduced by 14.71% and 15.19%, respectively.

The effect of solar reflectance, infrared emissivity, and thermal insulation of roofs on the annual energy consumption of single-family households in México

2017 ◽  
Vol 28 (1) ◽  
pp. 17-33 ◽  
Author(s):  
Jorge Lucero-Álvarez ◽  
Ignacio R. Martín-Domínguez
Keyword(s):  
Optical Properties ◽  
Energy Consumption ◽  
Thermal Insulation ◽  
Electricity Consumption ◽  
Temperate Climate ◽  
Infrared Emissivity ◽  
Single Family ◽  
Exterior Surface ◽  
Climate Conditions ◽  
Solar Reflectance

Thermal building simulations were carried out for the climate conditions of 20 cities in México. We analyse the effects on energy consumption of variations in solar reflectance (SR), infrared emissivity (IE), and thermal insulation (TI) of a roof’s exterior surface. We quantify the maximum potential reduction in air conditioning annual electricity consumption and the most appropriate combination of optical properties to achieve this in every locality. We systematically varied the SR, IE, and TI of the exposed rooftop of a reference building. TI has the greatest energy-saving benefits when the optical properties of the roof are inadequate. The largest effects of SR and IE on energy consumption occur in countries with temperate climate dominated by energy requirements for cooling. In México, these cities are located in thermal zones 1 and 2, and it is within these zones that cool roof standards are recommended.

Geographical aspects of the diffusion of passive houses

2013 ◽  
Vol 4 (2) ◽  
pp. 151-156 ◽  
Author(s):  
G. Kozma ◽  
E. Molnár ◽  
K. Czimre ◽  
J. Pénzes
Keyword(s):  
Energy Consumption ◽  
Energy Resources ◽  
Substantial Part ◽  
Renewable Energy Resources ◽  
Passive House ◽  
The Earth ◽  
Passive Houses ◽  
The Individual ◽  
Geographical Locations ◽  
Over Time

Abstract In our days, energy issues belong to the most important problems facing the Earth and the solution may be expected partly from decreasing the amount of the energy used and partly from the increased utilisation of renewable energy resources. A substantial part of energy consumption is related to buildings and includes, inter alia, the use for cooling/heating, lighting and cooking purposes. In the view of the above, special attention has been paid to minimising the energy consumption of buildings since the late 1980s. Within the framework of that, the passive house was created, a building in which the thermal comfort can be achieved solely by postheating or postcooling of the fresh air mass without a need for recirculated air. The aim of the paper is to study the changes in the construction of passive houses over time. In addition, the differences between the geographical locations and the observable peculiarities with regard to the individual building types are also presented.

CLOUD BASED INTERNET OF THINGS FOR SMART CONNECTED OBJECTS

2019 ◽  
Vol 01 (02) ◽  
pp. 31-39 ◽  
Author(s):  
Duraipandian M. ◽  
Vinothkanna R.
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Smart Home ◽  
Electricity Consumption ◽  
Considerable Improvement ◽  
The Internet ◽  
The Internet Of Things ◽  
At Home

The paper proposing the cloud based internet of things for the smart connected objects, concentrates on developing a smart home utilizing the internet of things, by providing the embedded labeling for all the tangible things at home and enabling them to be connected through the internet. The smart home proposed in the paper concentrates on the steps in reducing the electricity consumption of the appliances at the home by converting them into the smart connected objects using the cloud based internet of things and also concentrates on protecting the house from the theft and the robbery. The proposed smart home by turning the ordinary tangible objects into the smart connected objects shows considerable improvement in the energy consumption and the security provision.

scholarly journals Temperature Effects on Electricity and Gas Consumption: Empirical Evidence from Mexico and Projections under Future Climate Conditions

2020 ◽  
Vol 13 (1) ◽  
pp. 305
Author(s):  
W.J. Wouter Botzen ◽  
Tim Nees ◽  
Francisco Estrada
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Fixed Effects ◽  
Electricity Consumption ◽  
Energy Transition ◽  
Net Energy ◽  
Economic Costs ◽  
Climate Conditions ◽  
Linear Relationships ◽  
Gas Consumption

Fixed effects panel models are used to estimate how the electricity and gas consumption of various sectors and residents relate to temperature in Mexico, while controlling for the effects of income, manufacturing output per capita, electricity and gas prices and household size. We find non-linear relationships between energy consumption and temperature, which are heterogeneous per state. Electricity consumption increases with temperature, and this effect is stronger in warm states. Liquified petroleum gas consumption declines with temperature, and this effect is slightly stronger in cold states. Extrapolations of electricity and gas consumption under a high warming scenario reveal that electricity consumption by the end of the century for Mexico increases by 12%, while gas consumption declines with 10%, resulting in substantial net economic costs of 43 billion pesos per year. The increase in net energy consumption implies greater efforts to comply with the mitigation commitments of Mexico and requires a much faster energy transition and substantial improvements in energy efficiency. The results suggest that challenges posed by climate change also provide important opportunities for advancing social sustainability goals and the 2030 Agenda for Sustainable Development. This study is part of Mexico’s Sixth National Communication to the United Nations Framework Convention on Climate Change.

scholarly journals Optimum Thickness of Thermal Insulation with Both Economic and Ecological Costs of Heating and Cooling

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3835
Author(s):  
Robert Dylewski ◽  
Janusz Adamczyk
Keyword(s):  
Thermal Insulation ◽  
Construction Materials ◽  
Optimum Thickness ◽  
Degree Days ◽  
Transfer Coefficients ◽  
Cooling Period ◽  
Heating And Cooling ◽  
Optimum Heat ◽  
Materials Used ◽  
Building Walls

The energy efficiency of the construction sector should be determined by the cleanliness of the environment and, thus, the health of society. The scientific aim of this article was to develop a methodology for determining the optimum thickness of thermal insulation, taking into account both economic and ecological aspects and considering both heating and cooling costs. The method takes into account the number of degree days of the heating period, as well as the number of degree days of the cooling period. Variants in terms of different types of thermal insulation, various types of construction materials for building walls, climatic zones and heat sources, were taken into consideration. In order to find the optimum thicknesses of thermal insulation, both in economic and ecological terms, a metacriterion was used. The optimum thicknesses of thermal insulation with the use of the metacriterion were obtained in the range of 0.11–0.55 m. It was observed that the values of the optimum heat transfer coefficients for economic and ecological reasons do not depend on the type of construction materials used for vertical walls. The type of applied heat source is of the greatest importance for the size of the economic and ecological benefits. The proposed mathematical model for determining the optimum thickness of thermal insulation with the use of a metacriterion is a kind of generalization of earlier models from the literature.

scholarly journals Energetic Aspects of Turfgrass Mowing: Comparison of Different Rotary Mowing Systems

Agriculture ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 178
Author(s):  
Michel Pirchio ◽  
Marco Fontanelli ◽  
Fabio Labanca ◽  
Mino Sportelli ◽  
Christian Frasconi ◽  
...  
Keyword(s):  
Power Consumption ◽  
Tall Fescue ◽  
Energy Requirement ◽  
Electricity Consumption ◽  
Primary Energy ◽  
Electric Motors ◽  
Full Throttle ◽  
Nitrogen Rates ◽  
Over Time ◽  
Primary Energy Requirement

Turfgrass mowing is one of the most important operations concerning turfgrass maintenance. Over time, different mowing machines have been developed, such as reel mowers, rotary mowers, and flail mowers. Rotary mowers have become the most widespread mowers for their great versatility and easy maintenance. Modern rotary mowers can be equipped with battery-powered electric motors and precise settings, such as blade rpm. The aim of this trial was to evaluate the differences in power consumption of a gasoline-powered rotary mower and a battery-powered rotary mower. Each mower worked on two different turfgrass species (bermudagrass and tall fescue) fertilized with two different nitrogen rates (100 and 200 kg ha−1). The battery-powered mower was set at its lowest and highest blade rpm value, while the gasoline-powered mower was set at full throttle. From the data acquired, it was possible to see that the gasoline-powered mower had a much higher primary energy requirement, independent of the turf species. Moreover, comparing the electricity consumption of the battery-powered mower over time, it was possible to see that the power consumption varied according to the growth rate of both turf species. These results show that there is a partial waste of energy when using a gasoline-powered mower compared to a battery-powered mower.

scholarly journals Investigating Primary Factors Affecting Electricity Consumption in Non-Residential Buildings Using a Data-Driven Approach

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4046 ◽  
Author(s):  
Sooyoun Cho ◽  
Jeehang Lee ◽  
Jumi Baek ◽  
Gi-Seok Kim ◽  
Seung-Bok Leigh
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Simulation Analysis ◽  
Residential Buildings ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Building Energy ◽  
Major Effect ◽  
Measuring Instruments ◽  
Building Energy Consumption

Although the latest energy-efficient buildings use a large number of sensors and measuring instruments to predict consumption more accurately, it is generally not possible to identify which data are the most valuable or key for analysis among the tens of thousands of data points. This study selected the electric energy as a subset of total building energy consumption because it accounts for more than 65% of the total building energy consumption, and identified the variables that contribute to electric energy use. However, this study aimed to confirm data from a building using clustering in machine learning, instead of a calculation method from engineering simulation, to examine the variables that were identified and determine whether these variables had a strong correlation with energy consumption. Three different methods confirmed that the major variables related to electric energy consumption were significant. This research has significance because it was able to identify the factors in electric energy, accounting for more than half of the total building energy consumption, that had a major effect on energy consumption and revealed that these key variables alone, not the default values of many different items in simulation analysis, can ensure the reliable prediction of energy consumption.

Negotiation between modernity and local culture in moviegoing practice: A case study of a traditional movie theater in Guangzhou Metropolis

2021 ◽  
pp. 136787792199381
Author(s):  
Geng Lin ◽  
Hao Wu ◽  
Xiaoru Xie ◽  
Fiona Fan Yang ◽  
Zuyi Lv
Keyword(s):  
Social Construction ◽  
Detailed Analysis ◽  
Metropolitan Areas ◽  
Traditional Culture ◽  
Social Characteristics ◽  
Daily Lives ◽  
Movie Theaters ◽  
Movie Theater ◽  
Over Time

As a medium for delivering modernity, movie theaters have faithfully recorded the dialogue between modernity and local daily lives. In contrast to modern movie theaters, traditional cinemas are distinguished by their long history, through which they reflect the changing connotations and social construction of modernity over time. Based on detailed analysis of the historical and social characteristics of Nanguan cinema, a 100-year-old movie theater in Guangzhou, China, we reach the following two conclusions: first, shaped by local traditional culture, the practice of moviegoing localizes modernity with a distinctive grassroots feature that enlivens everyday lives; second, moviegoing at traditional theaters in modern metropolitan areas has further enriched the connotations of modernity by providing a nostalgic experience for audiences.

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